https://github.com/daviddiazvico/scikit-datasets

Scikit-learn-compatible datasets
https://github.com/daviddiazvico/scikit-datasets

Last synced: 3 months ago
JSON representation

Scikit-learn-compatible datasets

• Host: GitHub
• URL: https://github.com/daviddiazvico/scikit-datasets
• Owner: daviddiazvico
• License: mit
• Created: 2017-10-24T19:10:32.000Z (about 7 years ago)
• Default Branch: develop
• Last Pushed: 2024-03-07T06:57:40.000Z (8 months ago)
• Last Synced: 2024-07-18T21:13:09.313Z (4 months ago)
• Language: Python
• Size: 9.05 MB
• Stars: 16
• Watchers: 4
• Forks: 3
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

• awesome-python-machine-learning - scikit-datasets - Scikit-learn-compatible datasets. (Uncategorized / Uncategorized)

README

        
# scikit-datasets

Scikit-learn-compatible datasets

## Status

[![Tests](https://github.com/daviddiazvico/scikit-datasets/actions/workflows/tests.yml/badge.svg)](https://github.com/daviddiazvico/scikit-datasets/actions/workflows/tests.yml)

[![Maintainability](https://api.codeclimate.com/v1/badges/a37c9ee152b41a0cb577/maintainability)](https://codeclimate.com/github/daviddiazvico/scikit-datasets/maintainability)

[![Test Coverage](https://api.codeclimate.com/v1/badges/a37c9ee152b41a0cb577/test_coverage)](https://codeclimate.com/github/daviddiazvico/scikit-datasets/test_coverage)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6383047.svg)](https://doi.org/10.5281/zenodo.6383047)

## Installation

Available in [PyPI](https://pypi.python.org/pypi?:action=display&name=scikit-datasets)

```

pip install scikit-datasets

```

## Documentation

Autogenerated and hosted in [GitHub Pages](https://daviddiazvico.github.io/scikit-datasets/)

## Distribution

Run the following command from the project home to create the distribution

```

python setup.py sdist bdist_wheel

```

and upload the package to [testPyPI](https://testpypi.python.org/)

```

twine upload --repository-url https://test.pypi.org/legacy/ dist/*

```

or [PyPI](https://pypi.python.org/)

```

twine upload dist/*

```

## Citation

If you find scikit-datasets useful, please cite it in your publications.

You can find the appropriate citation format in the sidebar, in both APA and

Bibtex.